In computer vision several views exist how to solve vision problems. The first general methodology was introduced by MARR (1982); he proposed a data-driven and straightforward analysis strategy. Nowadays the concept of active vision introduced by ALOIMONOS et al. (1988) becomes more and more important. In contrast to MARR's philosophy, active vision implies a feedback loop which consists of sensors and active components. In this paper we present a system for the identification of material faults under the surface of a test object. For that purpose the specimen is elastically deformed, then the deformation is made visible using holographic interferometry, and finally flaw parameters are estimated using a model-based approach to analyze interferograms. This is an underconstrained computer vision problem which is regularized using a priori knowledge and an active modification of the experimental setup. More mathematically, this vision task can be seen in the context of inverse problem theory. In this contribution we describe the system and point out how it is related to the methodologies named above. To illustrate the functionality of the system, results are shown from nondestructive testing of satellite fuel tanks.
Active approach for holographic nondestructive testing of satellite fuel tanks
1999
12 Seiten, 17 Quellen
Conference paper
English
Pulsed Holographic Nondestructive Testing On Aircraft
SPIE | 1983
|Holographic nondestructive testing (HNDT) in automotive industry
Engineering Index Backfile | 1969
|Holographic Nondestructive Testing (HNDT) in the Automotive Industry
SAE Technical Papers | 1969
|